corintxt

import pandas as pd
import matplotlib.pyplot as plt

csv = pd.read_csv('https://raw.githubusercontent.com/corintxt/AFP_data/refs/heads/main/data/US_VEP_Turnout_Rates_v1.1.csv')

df = csv[['YEAR','TURNOUT_RATE_PRES']] \
        .dropna()\
        .query('YEAR >= 1900')

### DRAW THE CHART

corintxt

REM Navigate Chrome on macOS to The Verge website
DELAY 2000
ATTACKMODE HID STORAGE VID_05AC PID_0220 MAN_HAK5 PROD_DUCKY SERIAL_1337
DELAY 1000
REM Open Launcher
F4
DELAY 500
REM Launch Chrome
STRING Chrome
DELAY 200

corintxt

q = text(
        '''
        SELECT *
        FROM "facebook-timeline" ft
        LIMIT 10000
        '''
        )
df = pd.DataFrame()

for idx, chunk in enumerate(

corintxt

from http.server import BaseHTTPRequestHandler, HTTPServer

HOST_NAME = 'localhost'
PORT_NUMBER = 4000

my_database = {}

class DatabaseHandler(BaseHTTPRequestHandler):
    def do_HEAD(self):
        self.send_response(200)